scispace - formally typeset
Open AccessJournal ArticleDOI

Polygenic Risk, Fitness, and Obesity in the Coronary Artery Risk Development in Young Adults (CARDIA) Study

Reads0
Chats0
TLDR
Cardiorespiratory fitness in young adulthood and a PRS are modestly associated with midlife BMI, although future BMI is associated with BMI inYoung adulthood, and models that included baseline BMI and surveillance of BMI over time were better in predicting BMI at year 25 compared with the PRS.
Abstract
Importance Obesity is a major determinant of disease burden worldwide. Polygenic risk scores (PRSs) have been posited as key predictors of obesity. How a PRS can be translated to the clinical encounter (especially in the context of fitness, activity, and parental history of overweight) remains unclear. Objective To quantify the relative importance of a PRS, fitness, activity, parental history of overweight, and body mass index (BMI) (calculated as weight in kilograms divided by height in meters squared) in young adulthood on BMI trends over 25 years. Design, Setting, and Participants This population-based prospective cohort study at 4 US centers included white individuals and black individuals with assessments of polygenic risk of obesity, fitness, activity, and BMI in young adulthood (in their 20s) and up to 25 years of follow-up. Data collected between March 1985 and August 2011 were analyzed from April 25, 2019, to September 29, 2019. Main Outcomes and Measures Body mass index at the initial visit and 25 years later. Results This study evaluated an obesity PRS from a recently reported study of 1608 white individuals (848 women [52.7%]) and 909 black individuals (548 women [60.3%]) across the United States. At baseline (year 0), mean (SD) overall BMI was 24.2 (4.5), which increased to 29.6 (6.9) at year 25. Among white individuals, the PRS (combined with age, sex, self-reported parental history of overweight, and principal components of ancestry) explained 11.9% (at year 0) and 13.6% (at year 25) of variation in BMI. Although the addition of fitness increased the explanatory capability of the model (24.0% variance at baseline and up to 18.1% variance in BMI at year 25), baseline BMI in young adulthood was the strongest factor, explaining 52.3% of BMI in midlife in combination with age, sex, and self-reported parental history of overweight. Accordingly, models that included baseline BMI (especially BMI surveillance over time) were better in predicting BMI at year 25 compared with the PRS. In fully adjusted models, the effect sizes for fitness and the PRS on BMI were comparable in opposing directions. The added explanatory capacity of the PRS among black individuals was lower than among white individuals. Among white individuals, addition of baseline BMI and surveillance of BMI over time was associated with improved precision of predicted BMI at year 25 (mean error in predicted BMI 0 kg/m2[95% CI, −11.4 to 11.4] to 0 kg/m2[95% CI, −8.5 to 8.5] for baseline BMI and mean error 0 kg/m2[95% CI, −5.3 to 5.3] for BMI surveillance). Conclusions and Relevance Cardiorespiratory fitness in young adulthood and a PRS are modestly associated with midlife BMI, although future BMI is associated with BMI in young adulthood. Fitness has a comparable association with future BMI as does the PRS. Caution should be exercised in the widespread use of polygenic risk for obesity prevention in adults, and close clinical surveillance and fitness may have prime roles in limiting the adverse consequences of elevated BMI on health.

read more

Content maybe subject to copyright    Report

Citations
More filters
Journal ArticleDOI

Learning one’s genetic risk changes physiology independent of actual genetic risk

TL;DR: Randomly informing people that they had a high or low genetic risk of obesity changed their gene-related physiology and subjective experience in a manner consistent with the perceived risk, regardless of their actual genetic risk.
Journal ArticleDOI

The Coronary Artery Risk Development In Young Adults (CARDIA) Study: JACC Focus Seminar 8/8.

TL;DR: The CARDIA (Coronary Artery Risk Development in Young Adults) study as mentioned in this paper was the first study to investigate the relationship between the neighborhood environment and the evolution of lifestyle behaviors with biological risk factors, subclinical disease, and early clinical events.
Journal ArticleDOI

Six-Year Diabetes Incidence After Genetic Risk Testing and Counseling: A Randomized Clinical Trial.

TL;DR: It is demonstrated in the Genetic Counseling/Lifestyle Change (GC/LC) Study that learning one’s genetic risk did not impact short-term weight loss or behavior change motivation among participants in a diabetes prevention program.
Journal ArticleDOI

Precision medicine in follicular lymphoma: Focus on predictive biomarkers.

TL;DR: The importance of assessing the potential predictiveness of available biomarkers to improve patient care is underscored but also that there is a long road ahead before reaching their broad implementation due to remaining scientific, technological, and economic hurdles.
Journal ArticleDOI

Dietary metabolic signatures and cardiometabolic risk.

TL;DR: In this paper, a machine learning approach was used to identify individual metabolic patterns related to diet and relation to long-term CM-CVD in early adulthood in 2259 White and Black adults (age 32.1 ± 3.6 years, 45% women, 44% Black) in the Coronary Artery Risk Development in Young Adults (CARDIA) study.
References
More filters
Journal ArticleDOI

Genetic studies of body mass index yield new insights for obesity biology

TL;DR: A genome-wide association study and Metabochip meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in up to 339,224 individuals provide strong support for a role of the central nervous system in obesity susceptibility.

Genetic studies of body mass index yield new insights for obesity biology

Adam E. Locke, +481 more
TL;DR: This paper conducted a genome-wide association study and meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in up to 339,224 individuals.
Journal ArticleDOI

Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index

Elizabeth K. Speliotes, +413 more
- 01 Nov 2010 - 
TL;DR: Genetic loci associated with body mass index map near key hypothalamic regulators of energy balance, and one of these loci is near GIPR, an incretin receptor, which may provide new insights into human body weight regulation.

Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index

Elizabeth K. Speliotes, +374 more
TL;DR: 18 new loci associated with body mass index are identified, one of which includes a copy number variant near GPRC5B, and genes in other newly associated loci may provide new insights into human body weight regulation.
Journal ArticleDOI

Meta-analysis of genome-wide association studies for height and body mass index in ∼700000 individuals of European ancestry

TL;DR: This study demonstrates that, as previously predicted, increasing GWAS sample sizes continues to deliver, by the discovery of new loci, increasing prediction accuracy and providing additional data to achieve deeper insight into complex trait biology.
Related Papers (5)